Abstract

In this article, I use the 2000-2004 data from the Greek Labour Force Survey in order to estimate a logit model for the incidence of long-term unemployment. The model computed is similar to the one estimated by Obben et al. (2002). It is found that attributes of the individual such as gender, age category, marital status and region of residence affect the odds of being long-term unemployed. On the other hand, the level of someone's qualification does not affect the odds of whether someone will be short or long-term unemployed.